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Statistical Analysis Methodology

Journal Article

Journal Article

Optimally Balanced Gaussian Process Propensity Scores for Estimating Treatment Effects

This paper introduces a new approach to estimating the propensity score using Gaussian processes and optimizing hyperparameters with respect to covariate balance.

Sep 19, 2019
Report

Measuring Health Care Utilization in Medicare Advantage Encounter Data: Methods, Estimates, and Considerations for Research

This report describes methodologies, estimates, and technical considerations related to measuring health care utilization in Medicare Part C encounter data.

Jul 25, 2019
Report

Tool Created to Help Multinational Companies Assess Risk of Bribery When Doing Business in Foreign Countries

Corruption can hinder global business investment — particularly in emerging markets — but multinational companies often have difficulty assessing the business bribery risk in other countries. A new tool, called the TRACE Matrix, can help.

May 13, 2019
Report

Report

Evaluating Methods to Estimate the Effect of State Laws on Firearm Deaths: A Simulation Study

As part of the RAND Corporation's Gun Policy in America initiative, the authors use simulations to assess the performance of a wide range of statistical models used to estimate the effects of state gun policies on firearm deaths.

Dec 10, 2018
Journal Article

Journal Article

Current and Future Demographics of the Veteran Population, 2014-2024

We estimate that the U.S. veteran population will shrink over the next decade - declining from 21.6 million in 2014 to 17.5 million by 2024, a 19-percent decrease.

Aug 17, 2018
Tool

A Manual for Cultural Analysis

Many academic disciplines have formally theorized culture as socially learned information that can influence beliefs and behaviors. This tool combines methods from anthropology and related areas to create a manual to examine cultural data.

Jul 9, 2018
Journal Article

Journal Article

Optimizing Variance-Bias Trade-Off in the TWANG Package for Estimation of Propensity Scores

This discussion highlights potentially meaningful ways to optimize propensity score machine learning methods to allow for minimal bias and less variability.

Dec 28, 2017
Journal Article

Journal Article

A Synthetic Estimator for the Efficacy of Clinical Trials with All-Or-Nothing Compliance

Synthetic estimation is a promising approach when patient noncompliance is affecting a clinical trial.

Sep 26, 2017
Tool

Tool

Propensity Scores for Repeated Treatments: A Tutorial for the iptw Function in the TWANG Package

This tutorial describes the use of the TWANG package in R to estimate inverse probability of treatment weights (IPTWs) when one has time varying treatments or sequences of treatments over time.

Sep 14, 2017
Report

Report

Quantifying Cost and Schedule Uncertainty for Major Defense Acquisition Programs (MDAPs)

To help the Air Force better anticipate cost and schedule challenges and manage programs, this study developed a methodology to evaluate the likelihood of cost growth and schedule slip for major defense acquisition projects (MDAPs).

Jul 17, 2017
Journal Article

Journal Article

Predictions Put Into Practice: A Quasi-Experimental Evaluation of Chicago's Predictive Policing Pilot

In order to better understand the effects of an individual-focused predictive policing program in the field, this study analyzes a pilot program implemented in Chicago in 2013 aimed at reducing gun violence.

Jul 6, 2017
Journal Article

Journal Article

A Framework for Synthetic Control Methods With High-Dimensional, Micro-Level Data: Evaluating a Neighborhood-Specific Crime Intervention

Our study illustrates the advantages of using high-dimensional, micro-level data in the context of synthetic control methods.

Jun 30, 2017
Tool

Tool

Propensity Scores for Multiple Treatments: A Tutorial on the MNPS Command for Stata Users

This tutorial explains the syntax and features related to the implementation of the MNPS commands in the Stata TWANG series.

May 5, 2017
Journal Article

Journal Article

Introduction to Medical Care Statistical Workshops for Health Services Research: Practical, State-of-the-Art Reviews

This is the introduction to a new series of statistical workshops that are practical and state of the art.

May 4, 2017
Report

Report

Demographic, Social, Economic, and Housing Characteristics: Development of a U.S. Contextual Database of 1990–2010 Measures

This report describes a contextual database of demographic, social, economic, housing, cultural, and urbanization measures for U.S. census tracts, counties, and metropolitan statistical areas for use in research.

Jan 3, 2017
Blog

The Art of Data in Baseball

The traditional baseball scout's keen eye is no longer deemed sufficient to rate talent, said Jeff Luhnow, general manager of the Houston Astros, at RAND's Politics Aside event. Analysts check curveball spin rates, computer-modeled swing mechanics, and even sleep habits.

Nov 15, 2016
Tool

Tool

RAPAPORT: Resilience Assessment Process and Portfolio Option Reporting Tool

The Resilience Assessment Process and Portfolio Option Reporting Tool (RAPAPORT) is a Microsoft Excel-based tool for assessing non-materiel aspects of resilience.

Apr 28, 2016
Report

When Race/Ethnicity Data Are Lacking: Using Advanced Indirect Estimation Methods to Measure Disparities

This report describes the use of indirect estimation methods to estimate racial/ethnic populations in health care records, which often lack such data, and the use of such methods to measure and monitor disparities in quality of care.

Mar 28, 2016
Journal Article

Journal Article

A Practical Introduction to Methods for Analyzing Longitudinal Data in the Presence of Missing Data Using a Marijuana Price Survey

In applied psychology research settings, such as criminal psychology, missing data are to be expected. Missing data can cause problems with both biased estimates and lack of statistical power. The paper aims to discuss these issues.

Mar 18, 2016
Commentary

Taking an Interest: What Makes Someone Respond to a Survey

Researchers have two main reasons for caring about non-response. First, it is important to ensure that survey findings are unbiased and representative, and second, concern about survey non-response is a key reason given by those who ignore or chose not to act on the findings of research.

Jan 5, 2016

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RAND Topic:
Statistical Analysis Methodology

Topic Synonyms:
Statistical Modeling